prompt_fine_tuned_boolq

tjasad/prompt_fine_tuned_boolq

prompt_fine_tuned_boolq is a machine learning model from tjasad. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Model type: distilbert
Access: Public
Created: May 2, 2024
Updated: May 2, 2024
SHA: 9e8f1b0d

Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

prompt_fine_tuned_boolq

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6522
Accuracy: 0.7778

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	12	0.7220	0.2222
No log	2.0	24	0.6952	0.5
No log	3.0	36	0.6732	0.7778
No log	4.0	48	0.6600	0.7778
No log	5.0	60	0.6539	0.7778
No log	6.0	72	0.6522	0.7778

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
Type: distilbert
License: apache-2.0
Created: May 2, 2024
Updated: May 2, 2024